Identification of key genes for guiding chemotherapeutic management in ovarian cancer using translational bioinformatics.

ABSTRACT: The emergence of resistance to chemotherapy drugs in patients with ovarian cancer is still the main cause of low survival rates. The present study aimed to identify key genes that may provide treatment guidance to reduce the incidence of drug resistance in patients with ovarian cancer. Original data of chemotherapy sensitivity and chemoresistance of ovarian cancer were obtained from the Gene Expression Omnibus dataset GSE73935. Differentially expressed genes (DEGs) between sensitive and resistant ovarian cancer cell lines were screened by Empirical Bayes methods. Overlapping DEGs between four chemoresistant groups were identified by Venn map analysis. Protein-protein interaction networks were also constructed, and hub genes were identified. The hub genes were verified by in vitro ex

SUBMITTER: Yuan D 

PROVIDER: S-EPMC7377160 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature